WO2015010257A1 - Procédé et appareil de traitement d'état de station de base - Google Patents

Procédé et appareil de traitement d'état de station de base Download PDF

Info

Publication number
WO2015010257A1
WO2015010257A1 PCT/CN2013/079917 CN2013079917W WO2015010257A1 WO 2015010257 A1 WO2015010257 A1 WO 2015010257A1 CN 2013079917 W CN2013079917 W CN 2013079917W WO 2015010257 A1 WO2015010257 A1 WO 2015010257A1
Authority
WO
WIPO (PCT)
Prior art keywords
base station
turned
base stations
need
network
Prior art date
Application number
PCT/CN2013/079917
Other languages
English (en)
Chinese (zh)
Inventor
金石
李过
高西奇
陈啸
邓天乐
罗海燕
Original Assignee
华为技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to CN201380001999.5A priority Critical patent/CN104509178B/zh
Priority to PCT/CN2013/079917 priority patent/WO2015010257A1/fr
Publication of WO2015010257A1 publication Critical patent/WO2015010257A1/fr

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02—Power saving arrangements
    • H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • the present invention relates to the field of communications technologies, and in particular, to a base station state processing method and apparatus.
  • BACKGROUND OF THE INVENTION With the rapid growth of the number of users and traffic of mobile communication networks, existing mobile communication networks need to build ultra-density networks by increasing the density of base station deployments, so as to increase network capacity and coverage, however, by increasing The density of base station deployment also increases network energy consumption. Because the energy consumption of the base station accounts for about 80% of the total network energy consumption in the energy distribution of the mobile communication system, how to greatly reduce the energy consumption of the base station part of the ultra-density network is a key issue.
  • the off state of the base station is adjusted according to the state of the user at a certain time, and the off state of the base station is kept unchanged until the next time the base station is turned off.
  • the power consumption of the base station can be reduced by turning off the base station, in the ultra-density network, the user density accessed by the base station is much smaller than that of the traditional cellular network, so the opened base station is sparse throughout the network, which causes a large Covering the blind spot, and the location where the new user arrives at the network is random.
  • the present invention provides a method and apparatus for processing a base station state, which can reduce the network congestion probability while reducing the power consumption of the base station.
  • the first aspect provides a method for processing a base station status, including:
  • the network information includes service load information of each base station in the ultra-density network, location information of each user equipment, or rate requirement information of each user equipment. At least one of them.
  • the determining, according to the preset modification condition, determining, in the base station set 3 ⁇ that needs to be closed Base station set 3 off _ modify including the modified condition includes
  • the base station?? # (0 is determined to be the base station that meets the modified condition, and the base station that meets the modified condition is obtained. Collection. # — m . d .
  • the base station that meets the modification condition is set. # m . ⁇ ⁇ Add A to the set of base stations to be turned on, after obtaining the set of base stations that need to be turned on finally, including:
  • a second aspect of the embodiments of the present invention provides a base station state processing apparatus, including: a first determining module, configured to determine, according to network information of an ultra-density network, a base station set that needs to be closed, at a start time of each processing cycle. . # and the set of base stations that need to be turned on. "; Second determining module, according to a predetermined correction condition, in the first determination module determines the set of base stations to be closed 3 ⁇ off correction condition is determined conforming to the set of base stations
  • a positive module configured to determine, by the second determining module, a set of base stations that meet the modified condition.
  • the network information includes service load information of each base station in the ultra-density network, location information of each user equipment, or rate requirement information of each user equipment. At least one of them.
  • the second determining module is specifically configured to:
  • the base station?? # (0 is determined to be the base station that meets the modified condition, and the base station that meets the modified condition is obtained. Collection. # — m . d .
  • the method further includes:
  • An adding module is configured to increase the maximum transmit power of each base station in the set of base stations that are ultimately required to be turned on.
  • a third aspect of the embodiments of the present invention provides a base station state processing apparatus, including a processor, a memory, and a communication bus, where the processor is connected to the memory through the communication bus, and the memory stores the base station.
  • the instruction of the state processing method is characterized in that: when the processor invokes an instruction in the memory, the following steps may be performed:
  • the set of base stations 3 that need to be closed is determined. # and the set of base stations that need to be turned on. nie ;
  • the set of base stations that need to be turned off is set. # "determine the base station set ojf_ modify that meets the modification condition,
  • the network information includes service load information of each base station in the ultra-density network, location information of each user equipment, or rate requirement information of each user equipment. At least one of them.
  • the base station set that needs to be closed according to the preset correction condition Determine the base station set 3 m dify that meets the modified condition
  • the base station?? # (0 is determined to be the base station that meets the modified condition, and the base station that meets the modified condition is obtained. Collection. # — m . d .
  • the base station that meets the modification condition is set. # m . ⁇ ⁇ Add A to the set of base stations that need to be opened, to obtain the set of base stations that need to be turned on finally. After criz ⁇ , include:
  • the base station set 3 that needs to be closed is determined according to the network information of the ultra-density network at the beginning of each processing cycle. # and the set of base stations that need to be turned on. And determining , according to a preset correction condition, a set of base stations s _ modify that meets the modification condition in the set of base stations that need to be closed, adding a set of base stations _ modify that meets the modified condition to the set of base stations that need to be opened In criz, get the set of base stations 3 that need to be turned on eventually. After ⁇ ⁇ ⁇ , the maximum transmit power of each base station in the base station set that needs to be turned on is increased.
  • FIG. 1 is a schematic flowchart of a method for processing a state of a base station according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of a model of an ultra-density network according to an embodiment of the present invention
  • Figure 3 is a trend diagram of the business arrival rate as a function of time; 4 is a schematic flowchart of a distributed algorithm applied to an embodiment of the present invention.
  • FIG. 5 is a diagram showing changes in the number of base stations of an ultra-density network opened over time according to an embodiment of the present invention
  • FIG. 6 is a graph showing changes in network blocking probability over time according to an embodiment of the present invention
  • FIG. 7 is a graph showing a trend of network blocking probability with frequency reserve factor and time obtained by simulation according to an embodiment of the present invention
  • FIG. 8 is a trend diagram of a network congestion probability obtained by simulation according to an embodiment of the present invention as a process cycle and time;
  • FIG. 9 is a schematic structural diagram of a base station state processing apparatus according to another embodiment of the present invention
  • FIG. 10 is a schematic structural diagram of a base station state processing apparatus according to another embodiment of the present invention.
  • GSM Global System for Mobi le Communicating
  • GPRS General Packet Radio Service
  • CDMA Code Division Multiple Access
  • WCDMA Wideband Code Dimensional Multi-Access
  • LTE Long Term Evolution
  • WiMAX Global Interoperabi ty for Microwave Access
  • FIG. 1 is a schematic flowchart of a method for processing a state of a base station according to an embodiment of the present invention. As shown in FIG. 1, the method for processing a base station state in this embodiment may include:
  • the ultra-density network used in the embodiment of the present invention includes 1600 base stations, and the ultra-density network in this embodiment is a homogeneous network scenario, that is, a base station.
  • the parameters such as type and antenna height are the same.
  • These base stations are arranged in a rectangular area in a 40 X 40 manner, wherein each base station is located in the center of a hexagonal cell, and each cell has a radius of 40 m.
  • the service arrival time interval obeys the exponential distribution with a mean of 1 /.
  • a user equipment will be randomly placed in the network, and each user equipment receives the service.
  • the ultra-density network is designed to meet the increasing user rate requirements. Therefore, the minimum user rate requirement in the ultra-density network model applied in this embodiment will be much larger than the existing minimum rate requirement, and the user minimum rate is assumed.
  • the requirement is r Q e ⁇ 2.4 7.2 12 ⁇ Mbps.
  • the probability of "speed*" is large.
  • the probability of each level rate is the same.
  • the probability of the user demanding high rate is required. Larger.
  • the channel model of the ultra-density network model applied in this embodiment only considers the path loss, and it is assumed that the inter-base station interference has been eliminated by frequency multiplexing or the like, and the power allocation is not considered here, so the user accessing the base station is
  • the frequency efficiency of the device is:
  • the maximum distance from the user equipment to the base station corresponding to different user rate requirements is IE ⁇ 68.2 48.6 39.3 ⁇ m
  • the ultra-density The base station deployment density of the network can meet the peak rate requirements and seamless coverage of users in the network.
  • the traffic of the entire ultra-density network is spatially uneven, and the arrival rate of the entire ultra-density network service changes with time.
  • the service arrival rate is low during these time periods.
  • the average user density in the ultra-density network is smaller than the base station density. Therefore, it is unnecessary to keep all base stations open, and only increase the network energy consumption.
  • the processing cycle is set to N, and each processing cycle
  • the number of processing cycles is N, and the number N of processing cycles can be specifically selected according to the limitation condition of the actual blocking probability of the network, the calculation load, and the network overhead.
  • the network information includes, but is not limited to, at least one of service load information of each base station in the ultra-density network, location information of each user equipment, or rate requirement information of each user equipment.
  • the specific implementation may determine the set of base stations 3 that need to be closed according to the distributed algorithm.
  • 4 is a schematic flowchart of a distributed algorithm applied in an embodiment of the present invention. As shown in FIG. 4, the process of the distributed algorithm includes:
  • the set of user equipment in the ultra-density network is defined as U.
  • the minimum rate requirement set of each user equipment corresponding to the user equipment set is R
  • the base station set is S
  • the set of users initially accessed by the base station is .
  • Step 1 Determine whether the algorithm converges, Changed?, that is, whether the access user equipment information of each base station changes. If the algorithm converges, the algorithm ends. At this time, there is no base station set 3 accessed by the user equipment. # will be closed, and the remaining base station set is defined as 3.roch.
  • the user equipment selects the serving base station in sequence, and if all the user equipments have selected the serving base station, go to step 1, otherwise, perform the following step 3.
  • Step 4 Each base station in the set calculates its own value function, and feeds this value back to the user equipment U( ), setting the base station with the largest value function value.
  • the function of the U-3 ⁇ 4 is assumed that the user equipment () to access the base spectral efficiency
  • h is the traffic load of the base station
  • the base station is defined as all access
  • the device U() has access to the base station.
  • the maximum bandwidth that the base station can provide to the user equipment at the current moment needs to be greater than the bandwidth required by the user equipment, otherwise the user equipment u (o will not be able to access the base station, therefore
  • the normalized traffic load of the base station ⁇ / is a function of the traffic load and frequency reservation factor of the current base station:
  • the set of base stations that need to be closed can be determined. # and the set of base stations that need to be turned on? beat.
  • the set of base stations that need to be closed is 3.
  • # determine the set of base stations that meet the modification condition.
  • the set of base stations that need to be closed can be determined. # and the set of base stations that need to be turned on? compose, where the base station set 3 that needs to be closed is closed. # ⁇ will all be turned off, however, in practical applications, when a certain base station 3 needs to be turned off. # (0 and all phases of the base station
  • Step 102 is specifically:
  • a base station that meets the modification condition is aggregated.
  • the base station that needs to be corrected is set to be a base station that cannot be turned off, that is, the base station equipment is turned on, that is, the base station set S off modify that meets the modification condition is added to the required to be turned on.
  • the set of base stations the set of base stations that need to be turned on finally is 3 on _ final °
  • the base station 3 is obtained. # (0 neighboring base station set ⁇
  • singer ⁇ is very sparse in the entire ultra-density network.
  • the power consumption of the power amplifier in the base station is 80% of the energy consumption of the entire base station, and the power consumption of the transmission power is only 20% of the energy consumption of the entire base station, and therefore, it will eventually need to be turned on.
  • the maximum transmit power of each base station in the base station set is increased, and a large amount of power consumption is not generated, because the base station that is not necessary to be turned off is processed by the method of the embodiment of the present invention, and a large number of Base station energy consumption.
  • the base station set 3 that needs to be closed is determined according to the network information of the ultra-density network at the beginning of each processing cycle. # and base station set 3 that needs to be turned on. "; According to a predetermined correction condition, the base station determines a set of off condition in line with the correction of the set of base stations to be closed in _ mod ify dify added to the set of base stations to be opened to give a final set of base stations to be opened S on _ final Then, the maximum transmit power of each of the base stations in the set of base stations that are finally required to be turned on is increased. It can dynamically adjust the on/off state of the base station in the ultra-density network, which not only can greatly reduce the power consumption of the base station, but also prevent the occurrence of the coverage dead zone and reduce the network congestion probability.
  • FIG. 5 is an ultra-density obtained by simulation in the embodiment of the present invention.
  • the network starts to change the number of base stations over time. As shown in FIG. 5, the trend of changing the number of base stations is the same as the network service arrival rate shown in FIG. 2, when the service arrives.
  • Curve 1 shows the change of the number of base stations in the ultra-density network according to the present invention over time
  • curve 2 shows the curve of the number of base stations in the existing ultra-density network with time.
  • FIG. 6 is a diagram showing changes in network congestion probability over time according to an embodiment of the present invention.
  • curve 2 represents a curve of network congestion probability over time simulated by an embodiment of the present invention
  • curve 1 represents an existing curve.
  • the base station set S ojf _ modify that meets the modification condition is determined in the set of base stations that need to be closed according to a preset correction condition, and the correction is met.
  • the set of conditional base stations S off_ modify is added to the set of base stations that need to be opened, and after the set of base stations S on — final finally needed to be opened, the set of base stations that need to be turned on finally is added.
  • the maximum transmission power of each of the base stations in the present invention is added.
  • the network congestion probability obtained by the simulation in the embodiment of the present invention is about 0.01, which is in accordance with the blocking probability limit of the normal network, and the network obtained by the base station shutdown method in the prior art is obtained.
  • the blocking probability is too large, usually about 0.3, which is not suitable for the ultra-density network. Therefore, the technical solution provided by the embodiment of the present invention can effectively reduce the network energy consumption under the condition that the network service quality is guaranteed.
  • FIG. 7 is a graph showing a trend of network congestion probability with frequency reserve factor and time obtained by simulation according to an embodiment of the present invention.
  • the blocking probability of the network changes with time under different frequency reservation factors.
  • the network blocking probability is in the vicinity of 0.01, and the blocking probability limit of the general network is usually 0.01, which indicates that the method according to the embodiment of the present invention can guarantee the network blocking probability.
  • the network congestion probability limit can be selected according to the actual network blocking probability limit condition.
  • the appropriate frequency reservation factor is to minimize the energy consumption of the network while ensuring the blocking probability of the network.
  • FIG. 8 is a graph showing a trend of network congestion probability with processing cycle and time simulated according to an embodiment of the present invention. As shown in FIG. 8, the shorter the processing period, the lower the network blocking probability, but the computational complexity and network overhead will be Therefore, in this embodiment, the processing period is determined according to the actual blocking probability limit condition of the network.
  • FIG. 9 is a schematic structural diagram of a base station state processing apparatus according to another embodiment of the present invention. As shown in FIG. 9, the method includes:
  • a first determining module 91 configured to start at an initial time of each processing cycle according to an ultra-density network Network information, determining the set of base stations that need to be closed and the set of base stations that need to be turned on
  • a second determining module 92 configured to determine, according to a preset correction condition, a set of base stations that meet the modification condition in the set of base stations that need to be closed determined by the first determining module
  • the processing period ⁇ is 24 hours divided by the preset number of processing cycles ⁇ ;
  • the network information includes at least one of service load information of each base station in the ultra-density network, location information of each user equipment, or rate requirement information of each user equipment.
  • the second determining module 92 is specifically configured to:
  • the base station?? # (0 is determined to be the base station that meets the modified condition, and the base station that meets the modified condition is obtained. Collection. # — m . d .
  • the device may further include:
  • the adding module 94 is configured to increase a maximum transmit power of each of the base stations in the set of base stations that need to be turned on.
  • the base station set 3 that needs to be closed is determined according to the network information of the ultra-density network at the beginning of each processing cycle. # and base station set 3 that needs to be turned on. "; According to a predetermined correction condition, set in the base station to be closed is determined in the base station # conforming to the correction condition set S off _ modify the base line with the correction condition set off _ Modify added to the needs. In the set of base stations that are turned on, the base station set that needs to be turned on is obtained, and then the maximum transmit power of each of the base stations in the base station set that needs to be turned on is increased. It can dynamically adjust the on/off state of the base station in the ultra-density network, which not only can greatly reduce the power consumption of the base station, but also prevent the occurrence of the coverage dead zone and reduce the network congestion probability.
  • FIG. 10 is a schematic structural diagram of a base station state processing apparatus according to another embodiment of the present invention.
  • the device includes a processor, a memory, and a communication bus, where the processor is connected to the memory through the communication bus.
  • the memory is stored with a finger for implementing the method for processing the base station state -
  • the processor invokes an instruction in the memory, the following steps may be performed: At the beginning of each processing cycle, the set of base stations 3 to be turned off is determined according to the network information of the ultra-density network. # and the set of base stations that need to be turned on.cca ;
  • the base station set S that meets the correction condition is set. # m( ⁇ Add to the set of base stations that need to be opened. foster, get the set of base stations that need to be turned on. réelle— /ma ,.
  • the processing period T is 24 hours divided by the preset number of processing periods N;
  • the network information includes at least one of service load information of each base station in the ultra-density network, location information of each user equipment, or rate requirement information of each user equipment.
  • # determine the set of base stations that meet the modified conditions.
  • # m including:
  • # — m( ⁇ Add to the set of base stations that need to be turned on?.org, get the set of base stations that need to be turned on finally.org—, after that, include:
  • the base station set 3 that needs to be closed is determined according to the network information of the ultra-density network at the start time of each processing cycle. # and base station set 3 that needs to be turned on. "; According to a predetermined correction condition, set in the base station is determined to be closed # correction conforming to the criteria set ojf _ od ify the base station complies with the base station set the correction conditions, added to the need to open.
  • the base station set that needs to be turned on is added, and the maximum transmit power of each base station can dynamically adjust the opening and closing of the base station in the ultra-density network. State, not only big
  • the disclosed systems, devices, and methods may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not executed.
  • the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical, mechanical or otherwise.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional units.
  • the above-described integrated unit implemented in the form of a software functional unit can be stored in a computer readable storage medium.
  • the above software functional units are stored in a storage medium and include a number of instructions for causing a computer device (which may be a personal computer, server, or network device, etc.) to perform some of the steps of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes: a mobile hard disk, a read-only memory (English: Read-Only Memory, ROM for short), a random access memory (English: Random Access Memory, RAM for short), a magnetic disk or an optical disk, and the like. The medium of the code.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

L'invention concerne un procédé de traitement de porteuse et un appareil de traitement de porteuse. Le procédé comprend les étapes suivantes: à un moment initial de chaque période de traitement, déterminer, en fonction d'informations de réseau d'un réseau à super-densité, un ensemble Boff de stations de base devant être arrêtées et un ensemble Bon de stations de base devant être mises en marche; déterminer, en fonction d'une condition de modification prédéterminée, un ensemble Boff_modify de stations de base répondant à la condition de modification des stations de base devant être arrêtées; et ajouter l'ensemble Boff_modify de stations de base répondant à la condition de modification à l'ensemble Bon de stations de base devant être mises en marche de manière à obtenir un ensemble final Bon_final de stations de base devant être mises en marche. La présente invention permet de réduire la consommation électrique de la station de base tout en réduisant la probabilité de congestion du réseau.
PCT/CN2013/079917 2013-07-23 2013-07-23 Procédé et appareil de traitement d'état de station de base WO2015010257A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201380001999.5A CN104509178B (zh) 2013-07-23 2013-07-23 基站状态处理方法及装置
PCT/CN2013/079917 WO2015010257A1 (fr) 2013-07-23 2013-07-23 Procédé et appareil de traitement d'état de station de base

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2013/079917 WO2015010257A1 (fr) 2013-07-23 2013-07-23 Procédé et appareil de traitement d'état de station de base

Publications (1)

Publication Number Publication Date
WO2015010257A1 true WO2015010257A1 (fr) 2015-01-29

Family

ID=52392576

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2013/079917 WO2015010257A1 (fr) 2013-07-23 2013-07-23 Procédé et appareil de traitement d'état de station de base

Country Status (2)

Country Link
CN (1) CN104509178B (fr)
WO (1) WO2015010257A1 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111565440B (zh) * 2019-01-29 2022-04-22 华为技术有限公司 无线通信的方法和通信设备
CN111163506B (zh) * 2019-12-23 2021-05-28 京信通信技术(广州)有限公司 节能方法、装置、计算机设备和存储介质
CN113747549B (zh) * 2020-05-28 2022-09-06 中国电信股份有限公司 基站控制方法、装置、存储介质和通信系统

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102014470A (zh) * 2010-11-30 2011-04-13 中兴通讯股份有限公司 基站功耗控制方法及系统
CN102625337A (zh) * 2012-03-08 2012-08-01 北京邮电大学 一种无线接入网自主节能管理系统及方法
WO2012162962A1 (fr) * 2011-08-24 2012-12-06 华为技术有限公司 Procédé et dispositif pour réduire la puissance consommée d'un système de station de base

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070258384A1 (en) * 2006-03-03 2007-11-08 Interdigital Technology Corporation Method and system for enhanced basic service set transition for a high throughput wireless local area network
CN101938820B (zh) * 2010-10-14 2013-03-20 西安电子科技大学 一种增强基站节能的方法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102014470A (zh) * 2010-11-30 2011-04-13 中兴通讯股份有限公司 基站功耗控制方法及系统
WO2012162962A1 (fr) * 2011-08-24 2012-12-06 华为技术有限公司 Procédé et dispositif pour réduire la puissance consommée d'un système de station de base
CN102625337A (zh) * 2012-03-08 2012-08-01 北京邮电大学 一种无线接入网自主节能管理系统及方法

Also Published As

Publication number Publication date
CN104509178B (zh) 2018-06-26
CN104509178A (zh) 2015-04-08

Similar Documents

Publication Publication Date Title
US9560657B2 (en) Application-based wireless device initiated radio resource management
US9826430B2 (en) Controlling uplink congestion in a wireless communication network
Wang et al. Sleep mode design for green base stations
CN112512068B (zh) 小区节能方法和基站
US11665678B2 (en) Antenna configuration in a communication network
WO2012103746A1 (fr) Procédé, dispositif et système d'accès à un réseau de communication mobile
CN103329602A (zh) 用于移动通信系统的上行链路传输功率配置方法和装置
CN109548167B (zh) 覆盖范围自适应调整方法、装置、计算机存储介质及设备
WO2015103772A1 (fr) Système, dispositif et procédé d'économie d'énergie de station de base distribuée
WO2014154145A1 (fr) Procédé de sélection de réseau, dispositif, et station de base
WO2021227745A1 (fr) Procédé et terminal de configuration de ressources de domaine temporel
WO2012000550A1 (fr) Procédé et appareil pour basculer entre des états de transmission dans un système de communication
TWI505740B (zh) 用於動態調整小型蜂巢基站功率之控制裝置及其控制方法
TW201043055A (en) Load-adaptive termination target
WO2015010257A1 (fr) Procédé et appareil de traitement d'état de station de base
WO2012145974A1 (fr) Procédé et dispositif permettant de déclencher un rapport de marge de puissance
Miliotis et al. Offloading with IFOM: The uplink case
CN102612045A (zh) 长期演进系统中基于微小区协作的节能方法
CN107925961B (zh) 无线通信中调整功率的方法和无线接入点
US20230164688A1 (en) Method and system for managing power of radio unit (ru)
EP3456110A1 (fr) Noeud de réseau et procédé de gestion de puissance spécifique d'un ue
CN105323840A (zh) 功率配置方法
CN116209033A (zh) 蜂窝系统功率控制方法、装置、基站及计算机存储介质
EP3213566B1 (fr) Premier noeud et procédés associés pour commander une puissance de transmission d'un deuxième noeud
Chen et al. Analysis and scheduling for cooperative content delivery in 5G heterogeneous networks

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 13889999

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 13889999

Country of ref document: EP

Kind code of ref document: A1